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Record W3095662261 · doi:10.1182/blood-2020-136365

Healthcare Utilization and Costs Associated with Different Treatment Protocols for Newly Diagnosed Childhood Acute Lymphoblastic Leukemia: A Population-Based Study

2020· article· en· W3095662261 on OpenAlexaffabout
Sumit Gupta, Nicole Mittman, Petros Pechlivanoglou, Qing Li, Uma H. Athale, Mylène Bassal, Vicky R. Breakey, Paul Gibson, Mariana Silva, Veda Zabih, Jason D. Pole, Rinku Sutradhar

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsOccupational Cancer Research CentreUniversity of TorontoQueen's UniversityMcMaster Children's HospitalLondon Health Sciences CentreMcMaster UniversityChildren's Hospital of Eastern OntarioInstitute for Clinical Evaluative SciencesHospital for Sick ChildrenPediatric Oncology GroupSickKids FoundationKingston General HospitalCanadian Agency for Drugs and Technologies in Health
Fundersnot available
KeywordsMedicinePopulationCancer registryHealth careCohortCancerCogPediatricsInternal medicineEmergency medicineEnvironmental health

Abstract

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BACKGROUND: Though cooperative trial groups use different treatment protocols for newly diagnosed childhood acute lymphoblastic leukemia (ALL), all achieve high cure rates. The healthcare utilization and costs associated with different treatment strategies have not been rigorously compared. Minimizing utilization and costs may increase quality of life and decrease health system burden. We compared Children's Oncology Group (COG) and Dana-Farber Cancer Institute (DFCI)-based treatment. METHODS: We identified all children diagnosed with ALL in pediatric cancer centers in Ontario, Canada between 2002 and 2012 through the Pediatric Oncology Group of Ontario Networked Information System (POGONIS), a provincial pediatric cancer registry. Detailed data on demographics, disease risk factors (e.g. cytogenetics, minimal residual disease), treatment (e.g. treatment protocol, start and end date of each therapy phase) and events (relapse/progression, death, second cancer) were captured via chart abstraction. Treatment protocols were categorized as either based on COG or DFCI trials. Linkage to population-based health services databases identified all outpatient and emergency department (ED) visits, hospitalizations, and physician billings. Healthcare utilization-associated costs were determined through validated costing algorithms. Chemotherapy-associated costs were calculated separately using local prices. All administered doses of asparaginase (ASNase), including E. Coli, PEG-ASNase, and Erwinia ASNase were recorded. Event-free survival (EFS), overall survival (OS), healthcare utilization rates, and costs were compared between COG and DFCI-treated patients while adjusting for demographics and disease-factors using appropriate regression models. Healthcare-associated costs, ASNase costs, and total chemotherapy costs (2018 Canadian dollars) were compared. RESULTS: The study cohort included 802 patients, 146 (18.2%) of whom were treated on DFCI-based protocols. Median follow-up did not differ between between COG and DFCI patients; nor did EFS or OS. When adjusted for all demographic and disease-related variables, COG patients experienced significantly higher rates of ED visits [rate ratio (RR) 1.3, 95% confidence interval (95CI) 1.1-1.5; p=0.01]. Neither hospitalization rates nor rates of inpatient days differed between the two groups of patients. However, rates of outpatient visits were 60% higher among DFCI patients (RR 1.6, 95CI 1.5-1.7; p<0.0001). The median healthcare-associated cost in the first 5 years following initial diagnosis was $193,700 among COG patients [interquartile range (IQR) 149,200-272,700] compared to $288,000 among DFCI patients (IQR 233,300-407,300; p<0.01), mainly attributable to the cost associated with outpatient visits. In adjusted analyses, DFCI-associated costs were 70% higher (RR 1.7, 95CI 1.5-1.9; p<0.0001). The median ASNase-related cost was similar between COG and DFCI patients [$21,100, IQR 14,800-35,400 vs. $19,900, IQR 15,600-39,900; p=0.91]. The median total chemotherapy cost was higher among COG patients ($29,100, IQR 20,300-50,300 vs. $22,400, IQR 17,300-42,600; p<0.001]. However, ASNase and total chemotherapy costs were highest in DFCI patients treated with PEG-ASNase instead of E. Coli ASNase (N=36), reflecting contemporary practice. Among such patients, median ASNase-related costs were $45,200 (IQR 7,000-68,500) and median total chemotherapy costs were $48,000 (IQR 11,000-73,400) (p=0.004 and p=0.09 vs. COG patients). CONCLUSIONS: Though COG and DFCI protocols are associated with equivalent EFS and OS, patterns of healthcare utilization differ with the former associated with a 30% increase in the rate of ED visits and the latter associated with a 60% increase in the rate of outpatient visits. Overall, healthcare utilization-associated costs were increased in DFCI-treated patients. Though ASNase costs historically did not differ, the shift to PEG-ASNase is associated with higher ASNase and total chemotherapy costs on DFCI protocols. Decreases in PEG-ASNase cost and the ability to administer intravenous or intramuscular chemotherapy at home would decrease overall healthcare utilization and costs, and mitigate differences between COG and DFCI protocols. These results can inform efforts to decrease burden on both families and health systems. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.321
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
Admission routes2
Has abstractyes

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